Nuraminah Ramli
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Preferred name
Nuraminah Ramli
Official Name
Nuraminah, Ramli
Alternative Name
Ramli, Nuraminah Bt
Ramli, N.
Nuraminah, R.
Ramli, N. H.
Main Affiliation
Scopus Author ID
57188752016
Researcher ID
DMH-8769-2022

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  • Publication
    Adopting Ant Colony Optimization Algorithm for Pairwise T-Way Test Suite Generation Strategy
    ( 2021-07-26)
    Nuraminah Ramli
    ;
    Rozmie Razif Othman
    ;
    Hendradi R.
    ;
    Fauzi S.S.M.
    ;
    Ismail I.
    ;
    Mohd Zamri Zahir Ahmad
    ;
    Mohd Wafi Nasrudin
    Combinatorial testing or t-way testing (t represents strength) is useful to detect faults due to interactions. Pairwise testing is one type of t-way testing. The technique is effective in reducing the number of test cases without decreasing the level of coverage. Besides, its purpose is to overcome the problem of exhaustive testing that produces a great number of test cases and is impossible to be implemented due to time and cost constraints. Pairwise T-way Test Suite Generation Strategy based on Ant Colony Optimization (pTTSGA) is introduced to generate a near-optimum test suite size. Experiments have been conducted to evaluate the ability of this strategy for pairwise testing. The results are compared to benchmark results. Overall, pTTSGA produces a comparable test suite size.